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The European Union’s new AI Act focuses on risk without considering benefits, which could hinder the development of new technology while failing to protect the public.
People with type 2 diabetes who underwent bariatric surgery compared to medical or lifestyle interventions had better long-term outcomes, such as greater diabetes remission and less reliance on medication.
Longitudinal data from the China Cognition and Aging Study map the sequential biomarker changes that begin almost two decades before clinical onset of Alzheimer’s disease.
Nature Medicine explores the latest translational and clinical research news, with FDA approval of an AI-assisted optical reader to help in the diagnosis of skin cancer.
MEGA is a new CRISPR-based RNA-editing platform with the ability to enhance the fitness of CAR T cells; it may also overcome certain limitations of conventional DNA-targeting CRISPR–Cas9 systems.
Steatotic liver disease is part of a revised nomenclature to replace the term fatty liver disease, but this should also drive forward innovation in research, diagnostics and treatments.
Automated insulin delivery systems have transformed the care of people living with type 1 diabetes and continue to move closer to the ultimate goal of a fully autonomous artificial pancreas.
Growing evidence shows that lower doses or shorter treatments of precision cancer therapies could reduce toxicity and save money — but more clinical trials are needed.
In a head-to-head study, a multitarget version of the widely used FIT (fecal immunochemical test) showed a higher cancer detection rate than the standard test.
Community screening could be used for the monitoring, early detection and prevention of for depression, and to maximize the effects of the policies to reduce its burden.
The Born in Guangzhou Cohort Study prospectively collects genetic and phenotypic data from thousands of families, providing insights into genetics, early-life exposures and long-term health.
Drawing from real-life scenarios and insights shared at the RAISE (Responsible AI for Social and Ethical Healthcare) conference, we highlight the critical need for AI in health care (AIH) to primarily benefit patients and address current shortcomings in health care systems such as medical errors and access disparities.
Effective and sustainable interventions to address the global burden of mental disorders in children and adolescents require evidence-based research that fully acknowledges the social, cultural and economic challenges.
An intervention that incorporates electronic pill boxes and remote adherence monitoring improved treatment success in patients with tuberculosis in Tibet — making this a promising strategy for low-resource settings.